diff --git a/download_test.py b/download_test.py
new file mode 100644
index 000000000..fc76544e5
--- /dev/null
+++ b/download_test.py
@@ -0,0 +1,23 @@
+import os
+
+import pooch
+from pooch import Unzip
+
+
+FILES = []
+FILES.append("https://dataverse.harvard.edu/api/access/datafile/2499178")
+
+base_path = os.path.join(os.path.expanduser("~"), "mne_data", "WEIBO", "MNE-weibo-2014")
+if not os.path.isdir(base_path):
+    os.makedirs(base_path)
+
+print(f"Downloading to {base_path}")
+pooch.retrieve(
+    FILES[0],
+    None,
+    "data0.zip",
+    base_path,
+    processor=Unzip(),
+    progressbar=True,
+)
+print("Download finished")
diff --git a/moabb/datasets/braininvaders.py b/moabb/datasets/braininvaders.py
index dc4a2204f..e0d283fc6 100644
--- a/moabb/datasets/braininvaders.py
+++ b/moabb/datasets/braininvaders.py
@@ -284,7 +284,7 @@ def _bi_data_path(  # noqa: C901
                 zip_ref = z.ZipFile(path_zip, "r")
                 zip_ref.extractall(path_folder)
                 os.makedirs(osp.join(directory, f"Session{i + 1}"))
-                shutil.copy_tree(path_zip.strip(".zip"), directory)
+                shutil.copytree(path_zip.strip(".zip"), directory)
                 shutil.rmtree(path_zip.strip(".zip"))
 
         # filter the data regarding the experimental conditions
diff --git a/moabb/tests/test_datasets.py b/moabb/tests/test_datasets.py
index 084c11c61..b43ebd72b 100644
--- a/moabb/tests/test_datasets.py
+++ b/moabb/tests/test_datasets.py
@@ -574,6 +574,33 @@ def test_epochs(self, data, dataset):
         assert all([a == b for a, b in zip(raw.annotations.description[:3], description)])
 
 
+class TestWeibo2014:
+    @pytest.mark.parametrize("subject", [1])
+    def test_get_data(self, subject, dl_data):
+        if not dl_data:
+            pytest.skip("Skipping download test")
+        ds = db.Weibo2014()
+        data = ds.get_data(subjects=[subject])
+
+        # we should get a dict
+        assert isinstance(data, dict)
+
+        # we get the right number of subject
+        assert len(data) == 1
+        assert subject in data
+
+        # right number of session
+        assert len(data[subject]) == 1
+        assert "0" in data[subject]
+
+        # right number of run
+        assert len(data[subject]["0"]) == 1
+        assert "0" in data[subject]["0"]
+
+        # We should get a raw array at the end
+        assert isinstance(data[subject]["0"]["0"], mne.io.BaseRaw)
+
+
 class TestBIDSDataset:
     @pytest.fixture(scope="class")
     def cached_dataset_root(self, tmpdir_factory):